Tiny Funnel
Funnel analytics you'll actually understand
What it does
Funnel analytics you'll actually understand. Where visitors come from, how far each gets, and how many buy. Change the filters to a specific visitor set, e.g. "from Google" + "reached at least step two", and everything changes with you. The goal is answers and ideas as fast as possible, so filter options show their stats before you pick one. Cookie-less, so everyone gets counted. Scroll down for your funnel through time, and any visitor's full journey.
Cookie-less funnel analytics you'll actually understand. See where visitors come from, how far they get down your funnel, and who converts.
Tiny Funnel is obsessed with getting you the fastest possible answers to three questions: where visitors come from, where they go, and how many buy. 100% signal, zero noise. See the funnel whole, or narrow to one cohort: from xyz-forum.com • reached the third step • in the USA . Build the funnel that works for you. Combine from four kinds of funnel step: page visit, page state, click and server events. One email per funnel you're tracking. Where your visitors came from, which of those places actually produced customers, and what moved since last week. Drop a single line into your site's script section or <head> . Install done. Open your own site and click the pages of your flow. Each click…from tiny-funnel.com
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Growth · 29d ago · astrapixels.com

Launched alongside, August 2026
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Life & fun · 9d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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